• Ms. Sneha Sunil Kadam
• Mr. G.V. Otari

Nowadays social media and news play a major role in our life. We can’t think either domain in isolation. While the Twitter-like social media platform plays an important part in the distribution and utilization of news, the news editors depend on a social media platform to pursue their readers' attention and for crowdsourcing the news stories. Twitter is a social information exchange network where a huge number of users exchange messages using a very easy mechanism. Twitter hashtag naturally names and contextualize the story hence it works as a crucial connection between the Twitter crowd and news media. It also helps in grouping the discussion and defining topic trends. Twitter users either use them to categorize the tweets or as mass broadcast media for disasters or for important events like elections. Currently, hashtags are even used for promotion of different brands or for micro-meme discussions. Hashtags are not recorded anywhere even they are not managed by any user, authority or society. Hence some users may find it difficult to choose an appropriate hashtag for their tweet. Hence recommendation system is needed which will suggest proper hashtags to the user. This paper, try to enlist different approaches proposed in the evolution of hashtag recommender systems so far.

Twitter, recommender system, social tags, news, real-time hashtag recommendation system

"A Survey of Hashtag Recommendation Systems for Streaming News", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.152-156, May-2019, Available :http://www.jetir.org/papers/JETIR1905J25.pdf

"A Survey of Hashtag Recommendation Systems for Streaming News", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp152-156, May-2019, Available at : http://www.jetir.org/papers/JETIR1905J25.pdf